This function draw correlation plot between pair of centrality measures
visualize.correlations(x, scale = TRUE, method = "pearson")
a list indicating calculated centrality measures
Whether the centrality values should be scaled or not(default=TRUE)
a character string describing the type of correlation coefficient (or covariance) to be computed. The proper values are "pearson", "kendall", or "spearman". (default="pearson")
The pairwise correlation plot
This function illustrates pairwise correlation plot of computed centrality measures. The names of centralities shown in the result plot is abbreviated and compelete names can be seen in "proper.centralities" function. Colors from red to blue indicate the intensity of correlation value. If two centrality measures have an inverse relationship then their correspnding color in plot have to be red and vice versa.